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Further Improving Analysis of Date-Based Covid-19 Surveillance Data

Bibliographic Data

ID11036254
AuthorsNeal D Goldstein (0000-0002-9597-5251, Neal D. Goldstein and Igor Burstyn are with the Drexel University Dornsife School of Public Health, Philadelphia, PA.), Igor Burstyn (0000-0002-7153-4478, Neal D. Goldstein and Igor Burstyn are with the Drexel University Dornsife School of Public Health, Philadelphia, PA.)
Year2022
Volume112
Issue5
Pagese1-e2
Publication date2022-05-01
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Public Health (JOURNAL)
Journal identifiersISSN: 0090-0036 • E-ISSN: 1541-0048
PublisherAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.2022.306759
PMID35417208
OpenAlexW4224046785
LanguageEN
References cited7

Association (psychology) · Data collection · MEDLINE · Public health · COVID-19 diagnosis using AI · COVID-19 epidemiological studies · Data-Driven Disease Surveillance

  • Considerations for Improving Reporting and Analysis of Date-Based Covid-19 Surveillance Data by Public Health Agencies

    Ian Hennessee, Julie A Clennon et al.•American Journal of Public Health•2021

  • It can be dangerous to take epidemic curves of Covid-19 at face value

    Open Access•Igor Burstyn, Neal D Goldstein et al.•Canadian Journal of Public Health•2020

Highly citedNo
Open DOIOpen Access
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